Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation. by Yingjing Feng, Caroline H Roney, Jason D Bayer, Steven A Niederer, Mélèze Hocini, Edward J Vigmond

“…On pre-operative BSPMs of 52 paroxysmal AF patients, patients classified with initiator-type FS on a single atrium resulted in improved two-to-three-year AF-free likelihoods (p-value < 0.01, logrank tests). Detection of FS and arrhythmogenic substrate can be performed from ECGs and BSPMs, enabling non-invasive mapping towards mechanism-targeted AF treatment, and malignant ectopic beat detection with likely AF progression.…”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…Abstract Underwater object detection (UOD) is essential in maritime environmental study and underwater species protection. …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…Early diagnosis of this highly fatal and prevalent disease can significantly improve survival rates and prevent its progression. Computed tomography (CT) is the gold standard imaging modality for lung cancer diagnosis, offering critical insights into the assessment of lung nodules. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

“…Our study explores the use of the MoViNet video classification model to detect littering activities by vehicles and pedestrians, alongside the YOLOv8 object detection model to identify individuals responsible through facial recognition and license plate detection. …”
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A Methodological and Structural Review of Parkinson&#x2019;s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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Salivary Basic Fibroblast Growth Factor Expression: A Gateway to Early Detection of Oral Submucous Fibrosis by Shafaq Saeed Roghay, Afifa Razi, Hira Batool, Saima Akram Butt, Fizza Abidi

“…Results: The presence of bFGF was detected in the saliva samples taken from all participants. …”
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Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors by Muhammad Bilal, Muhammad Shehzad Hanif

“…Anomaly detection in industrial imaging is critical for ensuring quality and reliability in automated manufacturing processes. …”
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Biochemical detection of pediatric eosinophilic esophagitis using high wavenumber Raman endoscopy and stimulated Raman microscopy by Ezekiel J. Haugen, Andrea K. Locke, Lily H. Dao, Alec B. Walter, Pratheepa K. Rasiah, Justin S. Baba, Matthew A. Buendia, Hernán Correa, Girish Hiremath, Anita Mahadevan-Jansen

“…Given its chronic and progressive course, EoE can lead to esophageal remodeling and dysphagia. …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli, Rani Kumari, Adnan Akhunzada, Korhan Cengiz, Santosh Kumar Sharma, Rakesh Ranjan Kumar, Dinesh Kumar Sah

“…Abstract Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. …”
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Application of 2D polymerase chain reaction for single-tube detection of high-risk human papillomaviruses by Weifeng Wang, Min Jiang, Ying Liu, Xuan Wu, Yan Chen, Xiaoyun Zhang, Weiwei Liu

“…This closed-tube detection approach offers several benefits including high throughput, straightforward operation, and low detection cost. …”
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Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

“…This study further shows that the use of artificial intelligence in marine science is progressive but warranted for the future.…”
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Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis by Shania Yoonesi, Ramila Abedi Azar, Melika Arab Bafrani, Shayan Yaghmayee, Haniye Shahavand, Majid Mirmazloumi, Narges Moazeni Limoudehi, Mohammadreza Rahmani, Saina Hasany, Fatemeh Zahra Idjadi, Mohammad Amin Aalipour, Hossein Gharedaghi, Sadaf Salehi, Mahsa Asadi Anar, Mohammad Saeed Soleimani

“…Abstract Background Neurological disorders, ranging from common conditions like Alzheimer’s disease that is a progressive neurodegenerative disorder and remains the most common cause of dementia worldwide to rare disorders such as Angelman syndrome, impose a significant global health burden. …”
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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…This research explores the complex field of Ovarian Cancer Subtype Classification and the crucial task of Outlier Detection, driven by a progressive automated system, as the need to fight this unforgiving illness becomes critical. …”
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Against the clock: Effect of late detection of a mumps outbreak in the Western North Region of Ghana, 2022 by Marion Okoh-Owusu, Joshua Billy, Samuel Dapaa, Patrick Avevor, Osei Sakyi, Samuel Twum-Andoh, Saibu Adama Sawadigo, Ephraim Foanor Kwadzodeh, Martha Arkaa Kotey, Gyesi Razak Issahaku, Seidu Salifu, Kingsley Osei-Kwakye, Dennis Laryea, Franklin Asiedu Bekoe

“…The mumps outbreak in the Western North Region started in epi-week 12 and progressed through to epi-week 32, lasting for 20 weeks. …”
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SOX2, PIWI proteins, and MALAT1 - plasma-based emerging biomarkers for cancer detection and monitoring. by Ekaterina Kldiashvili, Ivane Abiatari, Elene Kekelia, Saba Iordanishvili, Tornike Metreveli, Eter Dumbadze

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Serum detection of blood brain barrier injury in subjects with a history of stroke and transient ischemic attack by Scott French, Juan Arias, MD, Ikeoluwapo Bolakale-Rufai, MD, Summan Zahra, MD, Kaneez Zahra Rubab Khakwani, MD, Edward J. Bedrick, PhD, Geidy E. Serrano, PhD, Thomas G. Beach, MD, PhD, Eric Reiman, MD, Craig Weinkauf, MD, PhD

“…Since BBB disruption occurs early in ADRD development, it could be monitored to help better understand disease progression and involvement of vascular pathways in ADRD.…”
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Advanced Detection and Therapeutic Monitoring of Atherosclerotic Plaque Using CD36-Targeted Lipid Core Probe by Tingting Gao, Siqi Gao, Maolin Qiao, Chuanlong Lu, Heng Wang, Hongjiu Zhang, Lizheng Li, Shule Wang, Ruijing Zhang, Honglin Dong

“…The goal is to specifically detect high-risk plaque, enabling early diagnosis and intervention. …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

“…Erosion detection in materials exposed to plasma-generated species, such as those used for space propulsion systems, is critical for ensuring their reliability and longevity. …”
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Serum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy by Jolanta Smok-Kalwat, Stanisław Góźdź, Paweł Macek, Zuzanna Kalwat, Maryna Khalavka, Wioletta Rzad, Andrzej Stepulak, Joanna Depciuch

“…At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR. However, until now, it has not been shown which biofluid; among serum and plasma, that can serve as the best material medium for detecting lung cancer with highest levels of accuracy. …”
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Remote, smart telemonitoring of COVID-19 survivors for early detection of deterioration in cardiac health (the PARTMO study) by Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Nutan Maurya, Nutan Maurya, Susan San Miguel, Rumbidzai Teramayi, Ahilan Parameswaran, Annamarie D’Souza, Gregory Melbourne, Joseph Descallar, Young Juhn, Enoch Chan, Jerome Pong

“…All the data were reviewed for arrhythmia detection and escalated to the participant’s general practitioner (if detected) to determine the appropriate intervention. …”
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